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<li class="navelem"><a class="el" href="dir_d44c64559bbebec7f509842c48db8b23.html">include</a></li><li class="navelem"><a class="el" href="dir_b519bdaee6a7f8dbbe55c1237cf8f544.html">native</a></li>  </ul>
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<a href="native_2stream__iteration_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="preprocessor">#ifndef GRPPI_NATIVE_STREAM_ITERATION_H</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="preprocessor">#define GRPPI_NATIVE_STREAM_ITERATION_H</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="parallel__execution__native_8h.html">parallel_execution_native.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &lt;thread&gt;</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &lt;utility&gt;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &lt;memory&gt;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacegrppi.html">grppi</a> { </div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Generator, <span class="keyword">typename</span> Predicate, <span class="keyword">typename</span> Consumer, </div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;         <span class="keyword">typename</span> ...MoreTransformers&gt;</div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="group__stream__iteration__pattern__native.html#gaf495b00aac103ff5a2d3fa708b06c5e2">   55</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="group__stream__iteration__pattern__native.html#gaf495b00aac103ff5a2d3fa708b06c5e2">repeat_until</a>(<a class="code" href="classgrppi_1_1parallel__execution__native.html">parallel_execution_native</a> &amp; ex, </div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;                  Generator &amp;&amp; generate_op, </div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;                  <a class="code" href="classgrppi_1_1pipeline__info.html">pipeline_info</a>&lt;<a class="code" href="classgrppi_1_1parallel__execution__native.html">parallel_execution_native</a>, </div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;                      MoreTransformers...&gt; &amp;&amp; pipe, </div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;                  Predicate predicate_op, Consumer consume_op)</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;{</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;  <span class="keyword">using namespace </span><a class="code" href="namespacestd.html">std</a>;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;  <span class="keyword">using</span> generated_type = <span class="keyword">typename</span> result_of&lt;Generator()&gt;::type;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;  <span class="keyword">using</span> pipeline_info_type = <a class="code" href="classgrppi_1_1pipeline__info.html">pipeline_info</a>&lt;<a class="code" href="classgrppi_1_1parallel__execution__native.html">parallel_execution_native</a>, MoreTransformers...&gt;;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;  <span class="keyword">auto</span> generated_queue = ex.<a class="code" href="classgrppi_1_1parallel__execution__native.html#a5c310952de159f2b4d62bdae4b360d8f">make_queue</a>&lt;generated_type&gt;();</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;  <span class="keyword">auto</span> transformed_queue = ex.<a class="code" href="classgrppi_1_1parallel__execution__native.html#a5c310952de159f2b4d62bdae4b360d8f">make_queue</a>&lt;generated_type&gt;();</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;  atomic&lt;int&gt; num_elements{0};</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;  atomic&lt;bool&gt; send_finish{<span class="keyword">false</span>};</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;  thread generator_task([&amp;](){</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <span class="keyword">auto</span> manager = ex.<a class="code" href="classgrppi_1_1parallel__execution__native.html#aa3fb66a10cab14001a371be7b351c745">thread_manager</a>();</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    <span class="keywordflow">for</span> (;;) {</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;      <span class="keyword">auto</span> item{generate_op()};</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;      <span class="keywordflow">if</span> (!item) {</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        send_finish=<span class="keyword">true</span>;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;        <span class="keywordflow">break</span>;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;      }</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;      num_elements++;</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;      generated_queue.push(item);</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    }</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;  });</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;  vector&lt;thread&gt; pipe_threads;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;  <a class="code" href="namespacegrppi.html#a94f99f5b5ff245645e9fb5fdb9861182">composed_pipeline</a>&lt;decltype(generated_queue), </div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;          decltype(transformed_queue), 0, MoreTransformers ...&gt;(</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;      generated_queue, </div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;      forward&lt;pipeline_info_type&gt;(pipe), </div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;      transformed_queue, pipe_threads); </div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;  <span class="keyword">auto</span> manager = ex.<a class="code" href="classgrppi_1_1parallel__execution__native.html#aa3fb66a10cab14001a371be7b351c745">thread_manager</a>();</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;  <span class="keywordflow">for</span> (;;) {</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    <span class="comment">//If every element has been processed</span></div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    <span class="keywordflow">if</span> (send_finish &amp;&amp; num_elements==0) {</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;      generated_queue.push({});</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;      send_finish = <span class="keyword">false</span>;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;      <span class="keywordflow">break</span>;</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    }</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <span class="keyword">auto</span> item{transformed_queue.pop()};</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    <span class="keywordflow">if</span> (predicate_op(*item)) {</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;      num_elements--;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;      consume_op(*item);</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    }</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    <span class="keywordflow">else</span> {</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;      <span class="comment">//If the condition is not met reintroduce the element in the input queue</span></div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;      generated_queue.push(item);</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    }</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;  }</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;  generator_task.join();</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;  <span class="keywordflow">for</span> (<span class="keyword">auto</span> &amp;&amp; t : pipe_threads) { t.join(); }</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;}</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Generator, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> Predicate, </div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;         <span class="keyword">typename</span> Consumer&gt;</div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="group__stream__iteration__pattern__native.html#gabfa9a55ce0ec6002d35dca0474896c81">  129</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="group__stream__iteration__pattern__native.html#gaf495b00aac103ff5a2d3fa708b06c5e2">repeat_until</a>(<a class="code" href="classgrppi_1_1parallel__execution__native.html">parallel_execution_native</a> &amp;ex, </div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;                  Generator generate_op, </div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;                  <a class="code" href="classgrppi_1_1farm__info.html">farm_info&lt;parallel_execution_native,Transformer&gt;</a> &amp;&amp; <a class="code" href="group__farm__pattern.html#ga26bdb7c1b6c3d4bedbcfc1774d00833c">farm</a>, </div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;                  Predicate predicate_op, Consumer consume_op)</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;{</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;  <span class="keyword">using namespace </span><a class="code" href="namespacestd.html">std</a>;</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;  <span class="keyword">using</span> generated_type = <span class="keyword">typename</span> result_of&lt;Generator()&gt;::type;</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;  <span class="keyword">auto</span> generated_queue = ex.<a class="code" href="classgrppi_1_1parallel__execution__native.html#a5c310952de159f2b4d62bdae4b360d8f">make_queue</a>&lt;generated_type&gt;();</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;  <span class="keyword">auto</span> transformed_queue = ex.<a class="code" href="classgrppi_1_1parallel__execution__native.html#a5c310952de159f2b4d62bdae4b360d8f">make_queue</a>&lt;generated_type&gt;();</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;  atomic&lt;int&gt; done_threads{0};</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;  vector&lt;thread&gt; tasks;</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;  thread generator_task([&amp;](){</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    <span class="keyword">auto</span> manager = <a class="code" href="group__farm__pattern.html#ga26bdb7c1b6c3d4bedbcfc1774d00833c">farm</a>.exectype.thread_manager();</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    <span class="keywordflow">for</span> (;;) {</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;      <span class="keyword">auto</span> item = generate_op();</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;      generated_queue.push(item);</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;      <span class="keywordflow">if</span> (!item) <span class="keywordflow">break</span>;</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    }</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    <span class="comment">//When generation is finished start working on the farm</span></div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    <span class="keyword">auto</span> item{generated_queue.pop()};</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    <span class="keywordflow">while</span> (item) {</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;      <span class="keyword">auto</span> out = *item;</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;      <span class="keywordflow">do</span> {</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;        out = <a class="code" href="group__farm__pattern.html#ga26bdb7c1b6c3d4bedbcfc1774d00833c">farm</a>.task(out);</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;      } <span class="keywordflow">while</span> (!predicate_op(out));</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;      transformed_queue.push(out);</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;      item = generated_queue.pop();</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    }</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;    done_threads++;</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    <span class="keywordflow">if</span>(done_threads == <a class="code" href="group__farm__pattern.html#ga26bdb7c1b6c3d4bedbcfc1774d00833c">farm</a>.exectype.concurrency_degree()) {</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;      transformed_queue.push({});</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    }</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    <span class="keywordflow">else</span> {</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;      generated_queue.push(item);</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    }</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;  });</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;  <span class="comment">//Farm workers</span></div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> th = 1; th &lt; <a class="code" href="group__farm__pattern.html#ga26bdb7c1b6c3d4bedbcfc1774d00833c">farm</a>.exectype.concurrency_degree(); th++) {</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    tasks.emplace_back([&amp;]() {</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;      <span class="keyword">auto</span> manager = <a class="code" href="group__farm__pattern.html#ga26bdb7c1b6c3d4bedbcfc1774d00833c">farm</a>.exectype.thread_manager();</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;      <span class="keyword">auto</span> item{generated_queue.pop()};</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;      <span class="keywordflow">while</span> (item) {</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;        <span class="keyword">auto</span> out = *item;</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;        <span class="keywordflow">do</span> {</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;          out = <a class="code" href="group__farm__pattern.html#ga26bdb7c1b6c3d4bedbcfc1774d00833c">farm</a>.task(out);</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;        } <span class="keywordflow">while</span> (!predicate_op(out));</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;        transformed_queue.push(out);</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;        item = generated_queue.pop();</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;      }</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;      done_threads++;</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;      <span class="keywordflow">if</span> (done_threads == <a class="code" href="group__farm__pattern.html#ga26bdb7c1b6c3d4bedbcfc1774d00833c">farm</a>.exectype.concurrency_degree()) {</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;        transformed_queue.push({});</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;      }</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;      <span class="keywordflow">else</span> {</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;        generated_queue.push(item);</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;      }</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    });</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;  }</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;  thread consumer_task([&amp;](){</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;    <span class="keyword">auto</span> manager = ex.<a class="code" href="classgrppi_1_1parallel__execution__native.html#aa3fb66a10cab14001a371be7b351c745">thread_manager</a>();</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    <span class="keywordflow">for</span> (;;){</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;     <span class="keyword">auto</span> item{transformed_queue.pop()};</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;     <span class="keywordflow">if</span>(!item) <span class="keywordflow">break</span>;</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;       consume_op(*item);</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;     }</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;  });</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;  <span class="keywordflow">for</span>(<span class="keyword">auto</span> &amp;&amp; t : tasks) { t.join(); }</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;  generator_task.join();</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;  consumer_task.join();</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;}</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Generator, <span class="keyword">typename</span> Transformer, <span class="keyword">typename</span> Predicate, </div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;         <span class="keyword">typename</span> Consumer&gt;</div><div class="line"><a name="l00220"></a><span class="lineno"><a class="line" href="group__stream__iteration__pattern__native.html#gade022667a830b62560739dacf46148c9">  220</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="group__stream__iteration__pattern__native.html#gaf495b00aac103ff5a2d3fa708b06c5e2">repeat_until</a>(<a class="code" href="classgrppi_1_1parallel__execution__native.html">parallel_execution_native</a> &amp;ex, </div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;                  Generator generate_op, Transformer transform_op, </div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;                  Predicate predicate_op, Consumer consume_op) </div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;{</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;  <span class="keyword">using namespace </span><a class="code" href="namespacestd.html">std</a>;</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;  <span class="keyword">using namespace </span>experimental;</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;  <span class="keyword">using</span> generated_type = <span class="keyword">typename</span> result_of&lt;Generator()&gt;::type;</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;  <span class="keyword">using</span> generated_value_type = <span class="keyword">typename</span> generated_type::value_type;</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;  <span class="keyword">using</span> transformed_type = </div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;      <span class="keyword">typename</span> result_of&lt;Transformer(generated_value_type)&gt;::type;</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;  </div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;  <span class="keyword">auto</span> generated_queue = ex.<a class="code" href="classgrppi_1_1parallel__execution__native.html#a5c310952de159f2b4d62bdae4b360d8f">make_queue</a>&lt;generated_type&gt;();</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;  <span class="keyword">auto</span> transformed_queue = ex.<a class="code" href="classgrppi_1_1parallel__execution__native.html#a5c310952de159f2b4d62bdae4b360d8f">make_queue</a>&lt;generated_type&gt;();</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;  thread producer_task([&amp;generate_op, &amp;generated_queue, &amp;ex](){</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    <span class="keyword">auto</span> manager = ex.<a class="code" href="classgrppi_1_1parallel__execution__native.html#aa3fb66a10cab14001a371be7b351c745">thread_manager</a>();</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    <span class="keywordflow">for</span>(;;) {</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;      <span class="keyword">auto</span> item{generate_op()};</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;      generated_queue.push(item);</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;      <span class="keywordflow">if</span> (!item) <span class="keywordflow">break</span>;</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    }</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;  });</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;  </div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;  thread transformer_task([&amp;generated_queue,&amp;transform_op,&amp;predicate_op,</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;          &amp;transformed_queue, &amp;ex](){</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;    <span class="keyword">auto</span> manager = ex.<a class="code" href="classgrppi_1_1parallel__execution__native.html#aa3fb66a10cab14001a371be7b351c745">thread_manager</a>();</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;    <span class="keyword">auto</span> item{generated_queue.pop()};</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;    <span class="keywordflow">while</span> (item) {</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;     <span class="keyword">auto</span> val = *item;</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;     <span class="keywordflow">do</span> {</div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;       val = transform_op(val);</div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;     } <span class="keywordflow">while</span> (!predicate_op(val));</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;     transformed_queue.push(val);</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;     item = generated_queue.pop();</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;    }</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;    transformed_queue.push({});</div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;  });</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;  thread consumer_task([&amp;consume_op,&amp;transformed_queue,&amp;ex](){</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;    <span class="keyword">auto</span> manager = ex.<a class="code" href="classgrppi_1_1parallel__execution__native.html#aa3fb66a10cab14001a371be7b351c745">thread_manager</a>();</div><div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;    <span class="keyword">auto</span> item{transformed_queue.pop()};</div><div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;    <span class="keywordflow">while</span> (item) {</div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;      consume_op(*item);</div><div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;      item=transformed_queue.pop();</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    }</div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;  });  </div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;</div><div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;  producer_task.join();</div><div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;  transformer_task.join();</div><div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;  consumer_task.join();</div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;}</div><div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;</div><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;}</div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;</div><div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;<span class="preprocessor">#endif</span></div><div class="ttc" id="namespacegrppi_html"><div class="ttname"><a href="namespacegrppi.html">grppi</a></div><div class="ttdef"><b>Definition:</b> callable_traits.h:24</div></div>
<div class="ttc" id="classgrppi_1_1pipeline__info_html"><div class="ttname"><a href="classgrppi_1_1pipeline__info.html">grppi::pipeline_info</a></div><div class="ttdef"><b>Definition:</b> patterns.h:29</div></div>
<div class="ttc" id="group__stream__iteration__pattern__native_html_gaf495b00aac103ff5a2d3fa708b06c5e2"><div class="ttname"><a href="group__stream__iteration__pattern__native.html#gaf495b00aac103ff5a2d3fa708b06c5e2">grppi::repeat_until</a></div><div class="ttdeci">void repeat_until(parallel_execution_native &amp;ex, Generator &amp;&amp;generate_op, pipeline_info&lt; parallel_execution_native, MoreTransformers... &gt; &amp;&amp;pipe, Predicate predicate_op, Consumer consume_op)</div><div class="ttdoc">Invoke Stream iteration pattern on a data stream with native parallel execution with a generator...</div><div class="ttdef"><b>Definition:</b> native/stream_iteration.h:55</div></div>
<div class="ttc" id="namespacestd_html"><div class="ttname"><a href="namespacestd.html">std</a></div><div class="ttdoc">STL namespace. </div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__native_html"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html">grppi::parallel_execution_native</a></div><div class="ttdoc">Native parallel execution policy. This policy uses ISO C++ threads as implementation building block a...</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:136</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__native_html_aa3fb66a10cab14001a371be7b351c745"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#aa3fb66a10cab14001a371be7b351c745">grppi::parallel_execution_native::thread_manager</a></div><div class="ttdeci">native_thread_manager thread_manager()</div><div class="ttdoc">Get a manager object for registration/deregistration in the thread index table for current thread...</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:199</div></div>
<div class="ttc" id="classgrppi_1_1farm__info_html"><div class="ttname"><a href="classgrppi_1_1farm__info.html">grppi::farm_info</a></div><div class="ttdef"><b>Definition:</b> patterns.h:51</div></div>
<div class="ttc" id="group__farm__pattern_html_ga26bdb7c1b6c3d4bedbcfc1774d00833c"><div class="ttname"><a href="group__farm__pattern.html#ga26bdb7c1b6c3d4bedbcfc1774d00833c">grppi::farm</a></div><div class="ttdeci">auto farm(Execution &amp;ex, Transformer &amp;&amp;transform_op)</div><div class="ttdoc">Invoke Farm pattern on a data stream that can be composed in other streaming patterns. </div><div class="ttdef"><b>Definition:</b> farm.h:51</div></div>
<div class="ttc" id="parallel__execution__native_8h_html"><div class="ttname"><a href="parallel__execution__native_8h.html">parallel_execution_native.h</a></div></div>
<div class="ttc" id="namespacegrppi_html_a94f99f5b5ff245645e9fb5fdb9861182"><div class="ttname"><a href="namespacegrppi.html#a94f99f5b5ff245645e9fb5fdb9861182">grppi::composed_pipeline</a></div><div class="ttdeci">void composed_pipeline(InQueue &amp;input_queue, const pipeline_info&lt; parallel_execution_native, MoreTransformers... &gt; &amp;pipe, OutQueue &amp;output_queue, std::vector&lt; std::thread &gt; &amp;tasks)</div><div class="ttdef"><b>Definition:</b> native/pipeline.h:36</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__native_html_a5c310952de159f2b4d62bdae4b360d8f"><div class="ttname"><a href="classgrppi_1_1parallel__execution__native.html#a5c310952de159f2b4d62bdae4b360d8f">grppi::parallel_execution_native::make_queue</a></div><div class="ttdeci">mpmc_queue&lt; T &gt; make_queue() const </div><div class="ttdoc">Makes a communication queue for elements of type T. Constructs a queue using the attributes that can ...</div><div class="ttdef"><b>Definition:</b> parallel_execution_native.h:225</div></div>
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